iPad mini (7th generation)
Geekbench AI Score
3838
Single Precision Score
6949
Half Precision Score
5722
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 13 2026 01:31 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPad mini (7th generation) |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1617
300.6 IPS |
|
|
Image Classification (HP)
|
100% |
2936
546.0 IPS |
|
|
Image Classification (Q)
|
96% |
2045
381.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1586
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2362
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3055
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7162
8.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
15887
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13880
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1672
132.6 IPS |
|
|
Object Detection (HP)
|
97% |
3284
261.4 IPS |
|
|
Object Detection (Q)
|
94% |
2369
188.8 IPS |
|
|
Face Detection (SP)
|
100% |
3267
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
6912
82.1 IPS |
|
|
Face Detection (Q)
|
100% |
3884
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6731
51.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12894
99.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9045
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20149
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33089
42.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27208
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4603
170.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5661
209.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4417
163.1 IPS |
|
|
Text Classification (SP)
|
100% |
3239
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5646
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5571
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3421
58.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7704
133.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7797
134.7 IPS |
